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Daniel George

Astronomy

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Biography

Daniel George is a 3rd year PhD student in Astronomy, with a fellowship in Computational Science and Engineering, at the University of Illinois at Urbana-Champaign. He obtained his Bachelor's degree in Engineering Physics, with Honors, from IIT Bombay. He is currently a Research Assistant in the Gravity Group at the National Center for Supercomputing Applications (NCSA), a member of the LIGO, NANOGrav, and Dark Energy Survey (DES) collaborations, and an LSST Data Science Fellow, working at the interface of deep learning, high-performance computing, and gravitational wave and multimessenger astrophysics. He is also working part-time on deep learning and natural language understanding at Wolfram Research. His long-term interests lie in applying cutting-edge computer science and technology, especially artificial intelligence, to accelerate discoveries in the fundamental sciences.

Specializations

  • Gravitational Wave Astrophysics
  • Deep Learning
  • Signal Processing
  • Numerical Relativity
  • High Performance Computing
  • Data Science
  • LIGO
  • LSST
  • Machine Learning
  • Multimessenger Astronomy
  • Natural Language Processing
  • Artificial Intelligence